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3 years ago

Will the opposite of zero always sometimes never be be zero explain your reasoning

1 answer:

4 0

always because the opposite of a positive is a negative, and the opposite of a positive is a negative. But zero is neither positive or negative, therefore is has no real opposite and is zero.

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Which of the following theorems verified that angle xyz is congruent too angle uwv?

icang [17]

Answer:

Option B. AA

Step-by-step explanation:

we know that

Angle-Angle (AA) Similarity Postulate, states that If two angles of one triangle are congruent to two angles of another, then the triangles must be similar

In this problem

<em>In the triangle XYZ</em>

∠X=70°

∠Y=90°

∠Z=90°-70°=20° (remember that angle X and angle Z are complementary)

<em>In the triangle UWV</em>

∠V=20°

∠W=90°

∠U=90°-20°=70° (remember that angle V and angle U are complementary)

therefore

Traingles XYZ and UWV are similar by AA Similarity Postulate

3 0

2 years ago

Can someone help me please

Dafna1 [17]

Answer:

none

Explanation:

Fill in each option for x individually.

I) 9 $\leq$ -10 - 4(-1)

II) 9 $\leq$ -10 - 4(-3)

III) 9 $\leq$ -10 - 4(-2)

Then, simplify the right side of each inequality.

I) 9 $\leq$ -6

II) 9 $\leq$ 2

III) 9 $\leq$ -2

Each of these inequalities are flase. 9 is not less than or equal to any of these values, so the answer is none.

3 0

2 years ago

48<img src="https://tex.z-dn.net/?f=4%5Csqrt%7Bx%7D%2012192%5C%5C" id="TexFormula1" title="4\sqrt{x} 12192\\" alt="4\sqrt{x} 121

pentagon [3]

Answer:

= x 3048

Step-by-step explanation:

6 0

1 year ago

Pls help ;-; deunvojnvjenv

N76 [4]

Step-by-step explanation:

i cant help

3 0

2 years ago

a. A 2017 poll found that 56% of college students were very confident that their major will lead to a good job. If 15 college s

lesya [120]

Answer:

0.01083 or 1.083%

Step-by-step explanation:

This problem can be modeled as a binomial probability model with probability of success p = 0.56.

The probability of x=13 successes (a college student being very confident their major would lead to a good job) in a number of trials of n=15 is:

$P(X=x) = \frac{n!}{(n-x)!x!} *p^x*(1-p)^{n-x}\\P(X=13) = \frac{15!}{(15-13)!13!} *0.56^{13}*(1-0.56)^{15-13}\\P(X=13) = 0.01083=1.083\%$

The probability is 0.01083 or 1.083%.

8 0

2 years ago